RECONCILE & MATCH DATA

BUILDING YOUR ANALYTICS

IPython / Jupyter

Apache Zeppelin

Multiple languages in the same notebook.

RStudio IDE

A complete statistical suite in the cloud.

Seahorse

Program Apache Spark visually.

Program Apache Spark visually.

Testimonials

Don't take our word for it!

I am delighted with Data Scientist Workbench from IBM and I particularly enjoy using the Notebooks where I am able to use Python while learning Spark. Besides, the data sets are pretty handy for me to play around and solve different types of data problems.

Three things matter to proficient data scientists: cleaning raw data, analyzing it, and generating insights. Data Scientist Workbench does exactly that. It provides a unified platform of diverse tools to clean messy data, analyze it using the state-of-the-art open source tools, and generate insights to improve businesses’ competitive advantage. It even allows one to connect to Spark to overcome size restrictions in R and Python.

Associate Professor, Ted Rogers School of Management, Ryerson University

Data Scientist Workbench provides the ability to work with all sorts of data with a multitude of leading edge tools – Notebooks, Spark, OpenRefine, etc. The versatility of the cloud delivered workbench combined with its ease of use enables you to explore and analyze data without compromising the limits of your performance.